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-rw-r--r--databases/sql/passwords/test.py80
1 files changed, 0 insertions, 80 deletions
diff --git a/databases/sql/passwords/test.py b/databases/sql/passwords/test.py
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--- a/databases/sql/passwords/test.py
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-"""
-Checks SQL Server user data for compliance with Windows policies.
-"""
-
-# Import packages
-import pandas as pd
-
-# Load the data into a pandas DataFrame
-df_input = pd.read_csv("./data.csv")
-
-
-# Function to apply rules and generate report
-def apply_rules_and_report(df):
- """
- Apply defined rules against the input data.
-
- Parameters:
- df (pandas.DataFrame): SQL login data
-
- Returns:
- report (list): List of dictionaries containing test results
- """
- report = []
- for _, row in df.iterrows():
- result = {
- "Name": row["name"],
- "Type Check": "",
- "Policy Check": "",
- "Expiration Check": "",
- "Reason": "",
- }
-
- # Check the type_desc
- if row["type_desc"] == "SQL_LOGIN":
- result["Type Check"] = "SQL_LOGIN"
- elif row["type_desc"] == "WINDOWS_LOGIN":
- result["Type Check"] = "N/A"
- result["Reason"] = "Refer to Windows password policy."
- else:
- result["Type Check"] = "Manual Review"
- result["Reason"] = "Reviewer to manually review."
-
- # Check if password policy is enforced
- if row["is_policy_checked"] == 1:
- result["Policy Check"] = "PASS"
- result["Reason"] += """Password policy is enforced. Reviewer to
- check the assigned policy."""
- else:
- result["Policy Check"] = "FAIL"
- result["Reason"] += "Password policy is not enforced."
-
- # Check if password expiration is enforced
- if row["is_expiration_checked"] == 1:
- result["Expiration Check"] = "PASS"
- result["Reason"] += """Password expiration is enforced. Reviewer to
- check the expiration policy."""
- else:
- result["Expiration Check"] = "FAIL"
- result["Reason"] += "Password expiration is not enforced."
-
- report.append(result)
-
- return report
-
-
-# Main function to run the script
-def main():
- """
- Apply defined rules against the input data and print the results.
- """
- # Apply rules and generate report
- report = apply_rules_and_report(df_input)
- report_df = pd.DataFrame(report)
-
- # Print the report
- print(report_df)
-
-
-if __name__ == "__main__":
- main()